A New Method of Reconstructing the Human Laryngeal Architecture Using Micro-MRI

Chen, Ting; Chodara, Ann M.; Sprecher, Alicia J.; Fang, Fang; Song, Wen; Tao, Chao; Jiang, Jack J.

doi:10.1016/j.jvoice.2011.03.012

Cited by 27 publications

(12 citation statements)

References 27 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To our knowledge, despite the availability of human and large animal data (Chen et al, 2012; Herrera et al, 2009), there are no previous reports of MRI of the rat larynx. We therefore began by imaging naïve rats in vivo and naïve rat larynges ex vivo to evaluate the ability of MRI to resolve key anatomic structures at 4.7 and 9.4 T. T1-weighted (T1W) in vivo imaging of the rat neck with intravenous gadobenate dimeglumine (Gd) contrast enhancement provided clear identification of the glottis and some cartilaginous structures at 273 µm 3 /voxel resolution, but did not resolve individual cartilages, muscles or sub-structures within the vocal fold mucosae (Fig.…”

Section: Resultsmentioning

confidence: 99%

High- and ultrahigh-field magnetic resonance imaging of naïve, injured and scarred vocal fold mucosae in rats

Kishimoto

Young

et al. 2016

Disease Models &Amp; Mechanisms

View full text Add to dashboard Cite

Subepithelial changes to the vocal fold mucosa, such as fibrosis, are difficult to identify using visual assessment of the tissue surface. Moreover, without suspicion of neoplasm, mucosal biopsy is not a viable clinical option, as it carries its own risk of iatrogenic injury and scar formation. Given these challenges, we assessed the ability of high- (4.7 T) and ultrahigh-field (9.4 T) magnetic resonance imaging to resolve key vocal fold subepithelial tissue structures in the rat, an important and widely used preclinical model in vocal fold biology. We conducted serial in vivo and ex vivo imaging, evaluated an array of acquisition sequences and contrast agents, and successfully resolved key anatomic features of naïve, acutely injured, and chronically scarred vocal fold mucosae on the ex vivo scans. Naïve lamina propria was hyperintense on T1-weighted imaging with gadobenate dimeglumine contrast enhancement, whereas chronic scar was characterized by reduced lamina propria T1 signal intensity and mucosal volume. Acutely injured mucosa was hypointense on T2-weighted imaging; lesion volume steadily increased, peaked at 5 days post-injury, and then decreased – consistent with the physiology of acute, followed by subacute, hemorrhage and associated changes in the magnetic state of hemoglobin and its degradation products. Intravenous administration of superparamagnetic iron oxide conferred no T2 contrast enhancement during the acute injury period. These findings confirm that magnetic resonance imaging can resolve anatomic substructures within naïve vocal fold mucosa, qualitative and quantitative features of acute injury, and the presence of chronic scar.

show abstract

Section: Resultsmentioning

confidence: 99%

High- and ultrahigh-field magnetic resonance imaging of naïve, injured and scarred vocal fold mucosae in rats

Kishimoto

Young

et al. 2016

Disease Models &Amp; Mechanisms

View full text Add to dashboard Cite

show abstract

“…Extracerebral intracranial tumors are usually benign [9] and have a clear interface with the surrounding brain tissue; complete removal of the tumor while minimizing neurological deficits should be pursued, especially for tumors in functional areas of the brain. 3D medical imaging processing software such as 3D Slicer, ITK-SNAP [10], and Mimics [11], can be used to locate the tumor and perform simulated surgery, but it is difficult to accurately distinguish the brain regions around the tumor only by the naked eye. At present, the solution to this problem is to use an intraoperative navigation system [12] combined with anesthesia-arousal techniques [13] to accurately identify the functional areas of the brain.…”

Section: Discussionmentioning

confidence: 99%

A new simple brain segmentation method for extracerebral intracranial tumors

Hou

Yang

et al. 2020

PLoS ONE

View full text Add to dashboard Cite

Normal brain segmentation is available via FreeSurfer, Vbm, and Ibaspm software. However, these software packages cannot perform segmentation of the brain for patients with brain tumors. As we know, damage from extracerebral tumors to the brain occurs mainly by way of pushing and compressing while leaving the structure of the brain intact. Threedimensional (3D) imaging, augmented reality (AR), and virtual reality (VR) technology have begun to be applied in clinical practice. The free medical open-source software 3D Slicer allows us to perform 3D simulations on a computer and requires little user interaction. Moreover, 3D Slicer can integrate with the third-party software mentioned above. The relationship between the tumor and surrounding brain tissue can be judged, but accurate brain segmentation cannot be performed using 3D Slicer. In this study, we combine 3D Slicer and Free-Surfer to provide a novel brain segmentation method for extracerebral tumors. This method can help surgeons identify the "real" relationship between the lesion and adjacent brain tissue before surgery and improve preoperative planning.

show abstract

“…Although examinations of more subjects would be desirable to have a better insight into the vocal fold adjustments caused by the tube phonation, this has not been targeted here for ethical reasons. However, because technological improvements of less-invasive imaging techniques (such as micro-MRI) are progressing (eg, Chen et al 40 and Delyiski & Hillman 41 ), hopefully a larger study may become possible in future. A more accurate technique is requisite because the standard CT devices used here were at their limits for such precise measurements.…”

Section: Discussionmentioning

confidence: 99%